ibm-watsonx-gov-catalog-mcp-server

# ibm-watsonx-gov-catalog-mcp-server The **ibm-watsonx-gov-catalog-mcp-server** is a Model Context Protocol (MCP)-compliant server that seamlessly connects AI agents with tools hosted on [watsonx governed agentic catalog](https://www.ibm.com/docs/en/watsonx/saas?topic=ai-governed-agentic-catalog). --- ## Overview - **Protocol**: Model Context Protocol (MCP) - **Purpose**: Acts as a bridge between agentic AI frameworks and tools on governance catalog - **Supported Environments**: Watsonx SaaS (Envs Supported : Sydney , Toronto) - **Agent Compatibility**: The agentic framework must support the MCP standard (via Stdio). _Note: This server will not function with agents that do not support MCP._ --- ## Prerequisites - Python version **3.11** or later - Access to your **SaaS environment** - Ensure your **Agent framework supports MCP protocol** --- --- ## Setup ### Step 1: Install Python - Official Installer: [https://www.python.org/downloads/](https://www.python.org/downloads/) ### Step 2: Create a virtual environment ```bash python -m venv .venv ``` --- ## Running the Server ```bash uv run ibm-watsonx-gov-catalog-mcp-server ``` ### Step 3: Activate the virtual environment ```bash source .venv/bin/activate # macOS/Linux .venv\Scripts\activate # Windows ``` ### Step 4: Install the `uv` package manager ```bash pip install uv ``` - `uv` package: [https://pypi.org/project/uv/](https://pypi.org/project/uv/) --- --- ### Build the wheel file ```bash uv pip install build uv run python -m build ``` ### Build and Run the server ```bash uv run ibm-watsonx-gov-catalog-mcp-server ``` --- ## Testing using MCP Inspector ### Set the following environment variables ### For Watsonx SaaS If you have not already, provision an instance of IBM WatsonX Governance instance using the link in the [Cloud catalog](https://cloud.ibm.com/catalog#highlights) . ``` export WATSONX_APIKEY=<API KEY> export WATSONX_REGION=<WATSONX_REGION> ``` NOTE: * F…